AI Engineering Lead
2 dni temu
Job Overview
Billennium is seeking an experienced Senior MLOps Engineer to join our team. The successful candidate will have a strong background in machine learning and data science, with expertise in developing and deploying applications that leverage large language models.
Key Responsibilities:
- Pipeline Development: Design, build, and optimize ML and data pipelines for LLM applications.
- Collaboration: Work closely with data scientists and software engineers to deploy scalable, production-ready models.
- Model Fine-Tuning: Implement fine-tuning techniques for large language models to enhance performance.
- Cloud Infrastructure: Utilize cloud platforms (AWS, Azure, GCP) for deploying machine learning solutions.
- MLOps Technologies: Manage MLOps technologies and tools, including but not limited to AWS SageMaker, Kubeflow, and Vertex AI.
- Automation: Automate workflows and streamline processes using scripting and CI/CD tools.
- Best Practices: Ensure adherence to best practices in software development, including test-driven development and version control.
- Documentation: Maintain documentation and facilitate effective communication across teams using tools like Jira and Confluence.
Requirements:
- A minimum of 5 years of experience in Data Science, with at least 2 years in Data Engineering, ML Engineering, or MLOps.
- Proficiency in programming languages such as Python and R.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau).
What We Offer:
- A dynamic and interesting project environment.
- A collaborative and supportive team culture.
- A flexible work environment.
- A comprehensive benefits package tailored to your preferences.
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